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Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 – February 2021
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presented numerous operational challenges to healthcare delivery networks responsible for implementing large scale detection of Coronavirus Disease 2019 (COVID-19), the infection caused by SARS-CoV-2. We describe testing performance, revie...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Biomedical
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665666/ https://www.ncbi.nlm.nih.gov/pubmed/35007825 http://dx.doi.org/10.1016/j.diagmicrobio.2021.115617 |
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author | Sharma, Aditya Oda, Gina Icardi, Michael Mole, Larry Holodniy, Mark |
author_facet | Sharma, Aditya Oda, Gina Icardi, Michael Mole, Larry Holodniy, Mark |
author_sort | Sharma, Aditya |
collection | PubMed |
description | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presented numerous operational challenges to healthcare delivery networks responsible for implementing large scale detection of Coronavirus Disease 2019 (COVID-19), the infection caused by SARS-CoV-2. We describe testing performance, review data quality metrics, and summarize experiences during the scale up of laboratory-based detection of COVID-19 in the Veterans Health Administration, the largest healthcare system in the United States. During March 2020 to February 2021, we observed rapid increase in testing volume, decreases in test turnaround time, improvements in testing of hospitalized persons, changes in test positivity, and varying utilization of different tests. Though performance metrics improved over time, surges challenged testing capacity and data quality remained suboptimal. Future planning efforts should focus on fortifying supply chains for consumables and equipment repair, optimizing distribution of testing workload across laboratories, and improving informatics to accurately monitor operations and intent for testing during a public health emergency. |
format | Online Article Text |
id | pubmed-8665666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Biomedical |
record_format | MEDLINE/PubMed |
spelling | pubmed-86656662021-12-14 Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 – February 2021 Sharma, Aditya Oda, Gina Icardi, Michael Mole, Larry Holodniy, Mark Diagn Microbiol Infect Dis Article Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presented numerous operational challenges to healthcare delivery networks responsible for implementing large scale detection of Coronavirus Disease 2019 (COVID-19), the infection caused by SARS-CoV-2. We describe testing performance, review data quality metrics, and summarize experiences during the scale up of laboratory-based detection of COVID-19 in the Veterans Health Administration, the largest healthcare system in the United States. During March 2020 to February 2021, we observed rapid increase in testing volume, decreases in test turnaround time, improvements in testing of hospitalized persons, changes in test positivity, and varying utilization of different tests. Though performance metrics improved over time, surges challenged testing capacity and data quality remained suboptimal. Future planning efforts should focus on fortifying supply chains for consumables and equipment repair, optimizing distribution of testing workload across laboratories, and improving informatics to accurately monitor operations and intent for testing during a public health emergency. Elsevier Biomedical 2022-03 2021-12-11 /pmc/articles/PMC8665666/ /pubmed/35007825 http://dx.doi.org/10.1016/j.diagmicrobio.2021.115617 Text en Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Sharma, Aditya Oda, Gina Icardi, Michael Mole, Larry Holodniy, Mark Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 – February 2021 |
title | Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 – February 2021 |
title_full | Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 – February 2021 |
title_fullStr | Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 – February 2021 |
title_full_unstemmed | Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 – February 2021 |
title_short | Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 – February 2021 |
title_sort | implementation of large-scale laboratory-based detection of covid-19 in the veterans health administration, march 2020 – february 2021 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665666/ https://www.ncbi.nlm.nih.gov/pubmed/35007825 http://dx.doi.org/10.1016/j.diagmicrobio.2021.115617 |
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